Precision over quantity: identifying trustworthy genomic risk stratification models

Dear Editor, The Brazilian Society of Medical Genetics and Genomics recently issued a statement against using polygenic risk scores for breast cancer risk stratification in Brazilian women. In fact, an ongoing surge could be observed in genomic signatures and prognostic models, with over 200 LASSO-based TCGA signatures appearing in Scientific Reports last year, based on a focused keyword-based search, several of questionable quality. Discerning reliable models from unreliable ones is crucial for clinicians in order to avoid poorly validated tools. [...]

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Publication Details

Journal
Einstein (São Paulo)
Published
2025-01-01
DOI
https://doi.org/10.31744/einstein_journal/2025ce1726
Citations
3
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
7.44
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article

Precision over quantity: identifying trustworthy genomic risk stratification models

Pedro Robson Costa Passos, Valbert Oliveira Costa Filho
3 citations
Einstein (São Paulo)
Machine Learning in Healthcare
7.44
article

Precision over quantity: identifying trustworthy genomic risk stratification models

Pedro Robson Costa Passos, Valbert Oliveira Costa Filho
article en
3 citations

Abstract

Dear Editor, The Brazilian Society of Medical Genetics and Genomics recently issued a statement against using polygenic risk scores for breast cancer risk stratification in Brazilian women. In fact, an ongoing surge could be observed in genomic signatures and prognostic models, with over 200 LASSO-based TCGA signatures appearing in Scientific Reports last year, based on a focused keyword-based search, several of questionable quality. Discerning reliable models from unreliable ones is crucial for clinicians in order to avoid poorly validated tools. [...]

Einstein (São Paulo)Vol. 23
Universidade Federal do Ceará (BR)
Climate action
Openalex Percentile: Top 3%
Machine Learning in Healthcare
7.44
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